probability distributions
Mathematical functions that describe the likelihood of different outcomes in a random variable, fundamental for many probabilistic models in AI.
- Credal Prediction based on Relative Likelihood
- Estimation of Stochastic Optimal Transport Maps
- Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere
- Integral Imprecise Probability Metrics
- Multitask Learning with Stochastic Interpolants
- Quantum speedup of non-linear Monte Carlo problems
- Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
- Replicable Distribution Testing
- Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
- Squared families are useful conjugate priors
- Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions
- Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr\"{o}dinger Bridge Estimation
- Tree-Sliced Entropy Partial Transport
- Understanding protein function with a multimodal retrieval-augmented foundation model
- Wasserstein Transfer Learning